TOKYU Change To Inventory from 2010 to 2026

TCW Stock  EUR 7.00  0.05  0.71%   
TOKYU STRUCTION Change To Inventory yearly trend continues to be comparatively stable with very little volatility. Change To Inventory is likely to outpace its year average in 2026. Change To Inventory is the increase or decrease in the amount of inventory TOKYU STRUCTION has over a certain period. View All Fundamentals
 
Change To Inventory  
First Reported
2010-12-31
Previous Quarter
-4.7 B
Current Value
-4.5 B
Quarterly Volatility
B
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check TOKYU STRUCTION financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among TOKYU STRUCTION's main balance sheet or income statement drivers, such as Tax Provision of 3.4 B, Interest Income of 33.3 M or Interest Expense of 449.2 M, as well as many indicators such as . TOKYU financial statements analysis is a perfect complement when working with TOKYU STRUCTION Valuation or Volatility modules.
  
This module can also supplement various TOKYU STRUCTION Technical models . Check out the analysis of TOKYU STRUCTION Correlation against competitors.
The evolution of Change To Inventory for TOKYU STRUCTION provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how TOKYU STRUCTION compares to historical norms and industry peers.

Latest TOKYU STRUCTION's Change To Inventory Growth Pattern

Below is the plot of the Change To Inventory of TOKYU STRUCTION over the last few years. It is the increase or decrease in the amount of inventory a company has over a certain period. TOKYU STRUCTION's Change To Inventory historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in TOKYU STRUCTION's overall financial position and show how it may be relating to other accounts over time.
Change To Inventory10 Years Trend
Very volatile
   Change To Inventory   
       Timeline  

TOKYU Change To Inventory Regression Statistics

Arithmetic Mean(483,255,294)
Coefficient Of Variation(832.30)
Mean Deviation3,047,356,678
Median(1,839,000,000)
Standard Deviation4,022,115,421
Sample Variance16177412.5T
Range16.1B
R-Value0.07
Mean Square Error17179625.6T
R-Squared0
Significance0.80
Slope52,957,059
Total Sum of Squares258838599.4T

TOKYU Change To Inventory History

2026-4.5 B
2025-4.7 B
2024-4.1 B
2023708 M
20222.1 B
202111 B
20202.8 B

About TOKYU STRUCTION Financial Statements

TOKYU STRUCTION shareholders use historical fundamental indicators, such as Change To Inventory, to determine how well the company is positioned to perform in the future. Although TOKYU STRUCTION investors may analyze each financial statement separately, they are all interrelated. The changes in TOKYU STRUCTION's assets and liabilities, for example, are also reflected in the revenues and expenses on on TOKYU STRUCTION's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Change To Inventory-4.7 B-4.5 B

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Additional Tools for TOKYU Stock Analysis

When running TOKYU STRUCTION's price analysis, check to measure TOKYU STRUCTION's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy TOKYU STRUCTION is operating at the current time. Most of TOKYU STRUCTION's value examination focuses on studying past and present price action to predict the probability of TOKYU STRUCTION's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move TOKYU STRUCTION's price. Additionally, you may evaluate how the addition of TOKYU STRUCTION to your portfolios can decrease your overall portfolio volatility.